You did say that. And then despite that you reached a conclusion that I don't see as compatible. There is a massive qualitative and quantitative gap between t

You did say that. And then despite that you reached a conclusion that I don't see as compatible. There is a massive qualitative and quantitative gap between the two. Even if you had a real token predictor for the word spam, you would need a thousand of these to touch LLM capability. But it's not a real predictor. It's not locational. It's something vastly weaker. > It's all the same sort of thing though: some functions trained to predict a value associated with an input. Now you made it even worse. If not for the word 'trained' this would be every program. If two programs fall under the umbrella of machine learning in any way, that kind of logic treats them the same. What would you consider a "different kind of AI"? Your definition there fits basically the entire field.